Aim To investigate the potential role of desipramine(DP) on lipoplysaccharide（LPS）-induced acute lung injury(ALI)and the mechanism of its action.Methods Kunming mice were divided into four groups randomly:NS group(NS),DP control group(DP),LPS group(LPS)and DP treatment group(DP+LPS).The model of ALI in mice was induced by lipoplysaccharidel(LPS,10 mg·kg~(-1),ip).Six hours after LPS challenged,the lung samples were taken for determination of lung wet-to-dry weight ratio(W/D),myeloperoxidase(MPO)activity,and malondialdehyde(MDA)content.The bronchoalveolar lavage fluid(BALF)samples were analyzed for total protein concentrateion and white blood cell(WBC)count.The levels of tumor necrosis factor-α(TNF-α)in lung were measured by ELISA.Results LPS could significantly increase the total protein concentration and WBC number in BALF.The lung W/D ration,MPO activity,MDA content and the levels of TNF-α in lungs all increased after ip injection of LPS.Pretreatment with DP decreased all the changes induced by the LPS.Conclusion Pretreatment with DP protects lung from LPS-induced lung injury in mice,which is,at least in part,through inhibiting the level of TNF-α and decreasing the sequestration of neutrophils and lipid peroxidation.

Objective To determinate the heavy metal cadmium content in rice to ensure food safety.Methods Several brands and batch numbers of rice were collected and divided into groups A and B.Group A contained 24 pieces of rice from the canteens,and group B involved in 22 pieces from the farm product markets.Cadmium content in rice was detected quantitatively with X-ray fluorescence spectrometer,and then evaluated according to GB 2762-2012 which determined rice was not qualified in case cadmium content was more than 0.2 mg/kg.Results Group A had cadmium content between 0.00 and 0.477 mg/kg,the times of ultra standard being 2.385 and the disqualification rate being 29.2％ (7/24),and group B had cadmium content between 0.065 and 0.619 mg/kg,the times of ultra standard being 3.095 and the disqualification rate being 68.2％ (15/22).Excessive cadmium content in rice occurred in both canteens and markets,while the canteens was better than the markets.Conclusion X-ray fluorescence spectrometer detects cadmium content in rice rapidly and simply,and is worthy promoting in elementary facilities.

Objective To improve the diagnosis and treatment of infective endocardits(IE)by exploring the causes,pathogenic microorganism,clinical characteristics and therapeutic results of patients with IE.Methods From January 2006 to January 2016,89 cases with IE in Ganzhou People's Hospital were collected,and the clinical charac-teristics were analyzed retrospectively.Results Among the IE patients,40.5%had congenital heart diseases,33.7%had rheumatic heart diseases,18.0% were post－PCI or operative endocarditis,and patients without basic cardiac diseases accounted for 7.9%.The most common clinical manifestations were fever (86.5%),followed by anemia (85.4%).The blood culture positive rate was 63.4%.Streptococci viridians were the most common causative organ-isms(44.2%),followed by coagulase －negative staphylococci(21.2%).Eighty－six patients received echocardio-graphy examination,vegetation was observed in 61cases (68.5%).The hospital mortality rate was 10.1%,mostly due to refractory congestive heart failure and sepsis.Conclusion Congenital heart disease showed an upward trend, rheumatic heart disease decreased significantly.Intermittent fever,anemia are the main clinical manifestations.Blood culture positive rate is not high,Streptococcus viridians is the most common causative organism.Echocardiography is the main basis for the diagnosis.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.

Objective: To evaluate the association between NLRP2(NLR Family Pyrin Domain Containing 2) gene polymorphisms and classical type 1 diabetes mellitus(T1DM) in Chinese Han population. Methods: A case-control study was conducted in 510 classical T1DM patients from the Department of Metabolism and Endocrinology in the Second Xiangya Hospital affiliated to Central South University and 531 healthy controls in this region. The polymorphisms of rs1043673 in NLRP2 gene were analyzed by MassARRAY. Mann-Whitney U test and χ² test were used to compare the differences between patients and controls. Logistic regression analysis and χ² test were performed to compare the distributions of the alleles and genotypes between T1DM patients and controls. Kruskal-Wallis H test was used to compare the clinical characteristics of different genotypes in T1D patients. Results: The differences of the allele and genotype distributions in rs1043673 of NLRP2 gene were not significant between patients and controls. The polymorphisms of rs1043673 were associated with fasting C-peptide(P=0.029), postprandial 2-h C-peptide(P=0.017), and titer of GADA(P=0.043) in T1DM patients. Conclusion The polymorphisms of NLRP2 gene were associated with the characteristics of T1DM patients.